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Prevalence and associated factors of hypertension among adult patients in Felege-Hiwot Comprehensive Referral Hospitals, northwest, Ethiopia: a cross-sectional study



The main objective of this study was to assess the prevalence and factors associated with hypertension among adult patients in Felege-Hiwot Comprehensive Referral Hospital, northwest Ethiopia, 2018.


The prevalence of hypertension in the current study area was 27.3%. Known history of cardiac problems [AOR = 6.9; 95% CI (1.24, 11.44)], alcohol consumption [AOR = 2.2; 95% CI (1.04, 5.05)], abdominal obesity [AOR = 2.3; 95% CI (1.02, 5.04)], and obesity [AOR = 4.8; 95% CI (1.12, 8.34)] were factors associated independently with hypertension.


Hypertension (HTN) is defined as a persistent raised systolic or diastolic blood pressure equal to or more than 140/90 mmHg in adults aged 18 years and over [1, 2]. It usually associated with other chronic non-communicable diseases such as myocardial infarction, congestive heart failure, stroke and chronic kidney diseases (CKD) [1, 3,4,5].

High blood pressure becomes a trait as opposed to a specific disease and represents a quantitative rather than a qualitative deviation from the norm [3]. Level of hypertension varies among countries and apparently prevalent in developed countries and urban populations due to lifestyle changes associated with civilization [1]. Currently, Both developed as well as developing countries are at increased risk of developing hypertension [1, 6].

According to world health organization report of 2009, worldwide prevalence of hypertension in adults aged 25 years and above was 40%, highest in Africa 46% and lowest in America (35%) [1]. Another report showed that in 2010 the world wide prevalence of hypertension was more than 1.3 billion individuals, represents 31% of adults [7]. Hypertension is estimated to cause 7.5 million deaths annually, accounting for 57 million disability-adjusted life years [8]. It is a risk factor for the development of cardiovascular disease and stroke [9]. Studies in Ethiopia showed that the prevalence of hypertension both in rural and urban inhabitants. It ranges from 13 to 30% [10,11,12,13,14,15].

The prevention and control of hypertension have not received due attention from many developing countries [10]. However, awareness about treatment and control of hypertension is extremely low among developing nations including Ethiopia [16]. Therefore, the purpose of this study was to assess the prevalence and factors associated with hypertension among adult patients who visited the outpatient department in Felege-Hiwot Comprehensive Referral Hospitals, northwest, Ethiopia.

Main texts


Study area and participants

An institutional based cross sectional study was conducted at Felege-Hiwot Comprehensive Referral Hospital from March 12 to May 2, 2018. This Hospital is found in Bahir Dar, the Capital City of the Amhara regional state and 565 km away from Addis Ababa, the Capital City of Ethiopia. Felege-Hiwot Comprehensive Referral Hospital is a tertiary referral hospital with 400 beds capacity and around 15 adult outpatient department (OPD) serving over 7 million people from the surrounding area. The OPDs serves around 900 patients per day. The hospital provides obstetrics, pediatrics, internal medicine, ophthalmology, general, gynecology, ENT (ear, nose, and throat) and orthopedic surgery services. A wide range of procedures are performed electively and the emergency caseload is high with a large volume of trauma.

Sample size determination and sampling techniques

The required sample size was determined using a single population proportion formula by considering the following assumptions; prevalence (P) = study conducted in northwest Ethiopia on June 2014, the overall prevalence of hypertension was found to be 24% [2], confidence level (CL) = 95%, 5% degree of precision, add non-response rate of 10% and the final sample size was 308. There were 19 adult OPDs in FHRH. Among them, 10 OPDs were selected by lottery method. Systematic sampling technique was used to select study participants. After the first respondent drawn by lottery method every 3 patients were interviewed and then consquative sampling was employed until the sample size was reached.

Data collection techniques and procedures

A structured interview administered questionnaire was used to collect the data related with socio-demographic characteristics and check list was used to collect data from physical examination findings such as body weight, height, hip and waist circumferences, and three BP records were used for data collection. Blood pressure was measured by using adult size mercury sphygmomanometer and stethoscope. Each individual patient’s BP was taken while the patient was in a sitting position, from the right arm after the patient rested for at least 5 min before measurement. Consumption of caffeinated products such as coffee, Coca-Cola or tea was assed carefully and BP was taken by considering the time effect (after 30 min of initial consumption). Additionally, activities such as smoking and exercising were also been avoided 30 min prior to measure of BP. Three measurements of BP on a single visit were taken at least 3 min apart, and the average of the three records was used for the computation of results.

Data analysis

Data were coded and entered into Epi info version 3.5.1 and transferred into SPSS version 20 for analysis. Descriptive statistics like frequency table was used to present the results. Both Bivariate and multivariate analyses were used. Variables with a p-value of less than 0.05 from the Bivariate were finally adjusted into multivariate analysis. Variables with a p-value < 0.05 were considered as significant predictors of hypertension.

Operational definitions

Hypertension Hypertension was defined as having Systolic BP ≥ 140 mmHg or Diastolic BP ≥ 90 mmHg or reported use of regular anti-hypertensive medications prescribed by professionals for raised BP [2].

Positive smoking history Based on patients’ history of using manufactured or locally-made tobacco.

Alcohol use Refers to the consumption of local or manufactured alcohol beverages on a daily basis.

Regular chat chewers Individuals who reported chat use for 5 days or more in a week, and this was considered to be clinically significant.

Overweight Body mass index (BMI) ≥ 25 but less than 30 kg/m2.

Obese Patients were declared obese when their BMI being above 30 kg/m2.

Abdominal obesity Defined as waist-to-hip ratio (WHR) greater than 0.85 m for women and above 1 m for men.


Socio-demographic characteristics of participants

Out of the total patients who were attending OPD; 50.3% were males, 45.8% were in between 18 and 49 age groups, 64.6% were orthodox by religion, 58.1% were married, 48.7% attended grade 9 and above, 47.7% were governmental employers and around 32.6% of them earned more than 300 ETB per month (Table 1).

Table 1 Socio demographic characteristics of respondents (adult clients) see in Felege Hiwot Comprehensive Referral Hospitals, Bahir Dar, Ethiopia, 2018

Among the study participants, 27.3% had hypertension, 2.3% had known history of cardiac and related diseases, 21% had a previous history of hypertension and 3.2% were cigarette smokers. Out of all, 12% were drank alcohol frequently and 47.7% had the optimal recording of blood pressure. Anthropometrics measurement of participants; base on waist and hip circumferences around 9% of females and 5.3% of males had a high risk to develop hypertension (Table 2).

Table 2 Hypertension and its risk factors among respondents in adult clients visit outpatient department FHRH, Bahr Dar, Ethiopia, 2018

Factors associated with hypertension

In bivariate analysis: age, sex, Alcohol taking, BMI, waist to hip ratio and history of CVDs were found to be significantly associated factors of Hypertension.

Finally, drink alcohol, BMI and waist to hip ratio were identified as predictor variables in the multivariate analysis method.

Among all, those who have known cardiac cases were 6.9 times more likely to be hypertensive when compared to those who haven’t [AOR = 6.92 (1.246, 11.44)].

Central obesity measured with waist circumference and BMI were major modifiable risk factors to develop hypertension. Obese individuals had more than 4.79 fold risk of being hypertensive in comparison to underweight subjects in this study [AOR = 4.79 (1.129, 8.349)].

Abdominal obesity was the main risk factor to develop hypertension. Individuals having an abnormal waist to hip ratio were 2.3 folds risk of being to develop hypertension in comparisons to normal waist to hip ratio [AOR = 2.3 (1.025, 5.043)].

Alcohol consumption was the major risk factor in the developed countries to develop hypertension. Hypertension was more prevalent in alcohol users [AOR = 2.22 (1.045, 5.059)] (Table 3).

Table 3 Factors that affect Hypertension among adult client visit OPD in bivariate and multivariate logistic regression analysis model in Felege Hiwot Comprehensive Referral Hospital, Bahir Dar, Ethiopia, 2018


The prevalence of hypertension in this study was 27.3% which is comparable to studies done in Gonder 27.9% [10], Uganda 27.2% [17] and Jigjiga-Somali Ethiopia 28.3% [12]. This finding is lower than studies done in Bayelsa State 50.4% [18], Brazil 29.5% [19], Nigeria 33.1% [20], Hossana-Hadiya zone 30% [11], Urban Varanasi 32.9% [21]. However, this finding is higher than studies done in Bedele town 22.4% [13], Durame town 22.4% [15] and southern Ethiopia 13.2% [14]. This may be due to; the difference in socio-demographic characteristics like age, income, education, resident etc.; the difference in study settings, the habit of visit of health setups and dietary intakes.

Co-morbid diseases are risk factors for hypertension. In this study, participants with known history of cardiac diseases were 6.9 times more likely to develop hypertension than their counterparts. This finding is in line with studies done in Jijiga [12], Brazil [19] and Jimma [22] where being a known cardiac patients was reported as a risk factor for developing hypertension [23].

Alcohol consumption is a third major risk factor to develop hypertension. Alcohol users were 2.2 times more likely to develop hypertension than nonusers. This finding is similar to studies done in Gonder [10], Brazil [19], systematic review studies in Columbia [24]. The possible explanation is alcohol increases stimulation of sympathetic nervous system, endothelin, insulin resistance and inhibition of vascular relaxing substances which leads to hypertension. According to the general facts of alcohol and hypertension states; regularly drinking alcohol increase substantially the risk of developing hypertension and up to 75% of individuals develop hypertension when taking alcohol more than 3 times a day. Therefore, persons should reduce alcohol intake especially for those risk groups like cardiac problems, liver problems, and other chronic co-morbid diseases.

Peoples of BMI > 30 were 4.79-folds more likely to develop hypertensive than underweight individuals. This finding is consistent to studies done in Gonder [10], Jijiga [12], Bayisa state [18], Nigeria [20], Urban Varanasi [21], Jimma [22] and Kenya [23]. The possible explanation is when a person is obese he/she has excess bad cholesterol in blood vessels compared to underweight people and it makes narrow blood vessels and progressively the person develop hypertension due to hormonal effects. Epidemiological studies showed that BMI is the independent predictor for hypertensions [23]. Sodium retention, plasma rennin activity, angiotensinogen, angiotensin II and aldosterone values display significant increase during obesity and additionally insulin resistance and inflammation may promote an altered profile of vascular function and consequently leads to hypertension.

Peoples of abnormal waist to hip ratio were 2.3 times more likely to develop hypertension in compared to for those having the normal ratio. This finding is concurrent with studies done in Bayisa state [18], Urban Varanasi [21], Bedele town [13], Jimma [22] and Kenya [25]. The possible explanation is; waist for hip ratio is the major clinical assessment of central obesity and individuals having abdominal obesity indicate more bad cholesterol in blood vessels and the presence of this fat in blood vessel makes blood vessels narrow and it is the risk for hypertension than compared to persons having the normal ratio. Additionally, obesity increases activation of the sympathetic nervous system, which appears to be mediated in part by increased levels of the adipocyte-derived hormone, leptin, stimulation of pro-opiomelanocortin neurons, and subsequent activation of central nervous system melanocortin 4 receptors and finally results in hypertension.


In the current study, almost one-third of the study population was hypertensive which mean there was a hidden epidemic in this population. Known history of cardiac diseases, obesity, abnormal waist to hip ratio and alcohol consumption were determinant predictors of hypertension. Efficient health screening and regular checkups, promote healthy lifestyles, minimize alcohol intake and health promotion regarding hypertension should be provided in the population as means of primary prevention.


The study design and setting were the limitation of this study. As it was an institution based cross-sectional study, the overall prevalence of hypertension might be overestimated and it cause-effect relationship did not explained.



adjusted odds ratio


blood pressure


body mass index


chronic kidney disease


confidence level


cardio vascular disease


diastolic blood pressure


ear nose throat


Ethiopian Birr


Felege Hiwot Comprehensives Referral Hospital




out patient department


systolic blood pressure


World Health Organization


waist to hip ratio


  1. 1.

    Alwan A. Global status report on noncommunicable diseases 2010. Geneva: World Health Organization; 2011.

    Google Scholar 

  2. 2.

    Anteneh ZA, Yalew WA, Abitew DB. Prevalence and correlation of hypertension among adult population in Bahir Dar city, northwest Ethiopia: a community based cross-sectional study. Int J Gener Med. 2015;8:175.

    Article  Google Scholar 

  3. 3.

    Kimuyu BM. Factors associated with adherence to antihypertensive treatment in Kiambu District Hospital. Disertasi: University of Nairobi; 2014.

    Google Scholar 

  4. 4.

    Chobanian AV. National heart, lung, and blood institute joint national committee on prevention, detection, evaluation, and treatment of high blood pressure; national high blood pressure education program coordinating committee: the seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure: the JNC 7 report. JAMA. 2003;289:2560–72.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Getliffe K, Crouch R, Gage H, Lake F, Wilson S. Hypertension awareness, detection and treatment in a university community: results of a worksite screening. Public health. 2000;114(5):361–6.

    CAS  PubMed  Google Scholar 

  6. 6.

    Opie LH, Seedat YK. Hypertension in sub-Saharan African populations. Circulation. 2005;112(23):3562–8.

    Article  PubMed  Google Scholar 

  7. 7.

    Bloch MJ. Worldwide prevalence of hypertension exceeds 1.3 billion. JASH. 2016;10(10):753.

    PubMed  Google Scholar 

  8. 8.

    Geneva W. Global health risks: mortality and burden of disease attributable to selected major risks. Geneva: World Health Organization; 2009.

    Google Scholar 

  9. 9.

    Lemogoum D, Seedat YK, Mabadeje AF, Mendis S, Bovet P, Onwubere B, Blackett KN, Lenfant C, Kabangu J, Block P. Recommendations for prevention, diagnosis and management of hypertension and cardiovascular risk factors in sub-Saharan Africa. J Hypertens. 2003;21(11):1993–2000.

    CAS  Article  PubMed  Google Scholar 

  10. 10.

    Abebe SM, Berhane Y, Worku A, Getachew A. Prevalence and associated factors of hypertension: a cros-sectional community based study in Northwest Ethiopia. PLoS ONE. 2015;10(4):e0125210.

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Asfaw LS, Ayanto SY, Gurmamo FL. Hypertension and its associated factors in Hosanna town, Southern Ethiopia: community based cross-sectional study. BMC Res Notes. 2018;11(1):306.

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Asresahegn H, Tadesse F, Beyene E. Prevalence and associated factors of hypertension among adults in Ethiopia: a community based cross-sectional study. BMC Res Notes. 2017;10(1):629.

    Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Bonsa F, Gudina EK, Hajito KW. Prevalence of hypertension and associated factors in Bedele Town, Southwest Ethiopia. Ethiop J Health Sci. 2014;24(1):21–6.

    Article  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Gudina EK, Michael Y, Assegid S. Prevalence of hypertension and its risk factors in southwest Ethiopia: a hospital-based cross-sectional survey. Integr Blood Pressure Control. 2013;6:111.

    Article  Google Scholar 

  15. 15.

    Helelo TP, Gelaw YA, Adane AA. Prevalence and associated factors of hypertension among adults in Durame Town, Southern Ethiopia. PLoS ONE. 2014;9(11):e112790.

    Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Tesfaye F. Epidemiology of cardiovascular disease risk factors in Ethiopia: the rural-ruban gradient. Epidemiologi och folkhälsovetenskap; 2008.

  17. 17.

    Musinguzi G, Nuwaha F. Prevalence, awareness and control of hypertension in Uganda. PLoS ONE. 2013;8(4):e62236.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Egbi OG, Ogoina D, Oyeyemi A. Prevalence of hypertension and associated factors in a rural community in Bayelsa State. Int J Res Med Sci. 2018;6(4):1106.

    Article  Google Scholar 

  19. 19.

    Oliveira GF, Oliveira TR, Ikejiri AT, Andraus MP, Galvao TF, Silva MT, Pereira MG. Prevalence of hypertension and associated factors in an indigenous community of central Brazil: a population-based study. PLoS ONE. 2014;9(1):e86278.

    Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Ajayi IO, Sowemimo IO, Akpa OM, Ossai NE. Prevalence of hypertension and associated factors among residents of Ibadan-North Local Government Area of Nigeria. Niger J Cardiol. 2016;13(1):67.

    Article  Google Scholar 

  21. 21.

    Singh S, Shankar R, Singh GP. Prevalence and associated risk factors of hypertension: a cross-sectional study in urban varanasi. Int J Hyp. 2017;2017:5491838.

    Google Scholar 

  22. 22.

    Abegaz TM, Abdela OA, Bhagavathula AS, Teni FS. Magnitude and determinants of uncontrolled blood pressure among hypertensive patients in Ethiopia: hospital based observational study. Pharm Pract. 2018;16(2):1173.

    Article  Google Scholar 

  23. 23.

    Carmelli D, Robinette D, Fabsitz R. Concordance, discordance and prevalence of hypertension in World War II male veteran twins. J Hypertens. 1994;12(3):323–8.

    CAS  Article  PubMed  Google Scholar 

  24. 24.

    Briasoulis A, Agarwal V, Messerli FH. Alcohol consumption and the risk of hypertension in men and women: a systematic review and meta-analysis. J Clin Hyp. 2012;14(11):792–8.

    Article  Google Scholar 

  25. 25.

    Onyango MJ, Kombe I, Nyamongo DS, Mwangi M. A study to determine the prevalence and factors associated with hypertension among employees working at a call centre Nairobi Kenya. Pan Afr Med J. 2017;27:178.

    Article  PubMed  PubMed Central  Google Scholar 

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Authors’ contributions

AB, TT, YM, EM, EW, SA, TT1 and YM1: conceived, designed the study, supervised the data collection, and performed the data analysis, interpretation of the result, and drafting the manuscript. AB, TT, YM, GT participated in designing the study, data analysis and data interpretation. AB and YM drafted the manuscript. All authors read and approved the final manuscript.


Authors are thankful to study participants for their full consent.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The date of this study cannot be shared publically due to the presence of sensitive (confidential) participants’ information.

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Not applicable.

Ethics approval and consent to participate

Ethical clearance was obtained from the Research and Ethics Committee of Bahr Dar University, College of Medicine and Health science. Respondents were informed about the objective of the study and Verbal consent was taken for the willingness of patients to participate. Participants’ identity was kept anonymous throughout the data collection and analysis process. Verbal consent was approved and accepted by the department ethical committee.


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Correspondence to Amare Belachew.

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Belachew, A., Tewabe, T., Miskir, Y. et al. Prevalence and associated factors of hypertension among adult patients in Felege-Hiwot Comprehensive Referral Hospitals, northwest, Ethiopia: a cross-sectional study. BMC Res Notes 11, 876 (2018).

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  • Hypertension
  • Prevalence
  • Determinants
  • Northwest Ethiopia